Applied Multivariate Analysis

3 credit hours · Graduate

Students examine the purposes, analysis, and interpretation of a sample of multivariate techniques, such as: multiple linear and logistic regression, multivariate analysis of variance and post-hoc procedures, factor analysis, discriminant analysis, structural equations modelling, latent class analysis, and/or multi-level modelling, using a major computer statistical package. Class 3 hrs and Lab 3 hrs a week